Latest version includes standalone Lua scripting, granular multi-tenant security, memory-optimized data structures, and new ...

Frontier LLMs are evolving away from the dense and homogeneous AI workloads that originally favored GPU architectures.

South Korean researchers have successfully developed a core technology that can fundamentally resolve "memory shortages," a ...

Years of working with large-scale distributed systems have reinforced a lesson that only becomes clearer with time: ...

The rapid transformation of electric power systems toward highly distributed, digitalized, and intelligent infrastructures has made modern smart grids ...

TetraMem Inc., a Silicon Valley–based semiconductor company developing analog in-memory computing (IMC) solutions, today ...

Yugabyte, the distributed AI database expert, is debuting Meko, an agent-native data infrastructure designed specifically for multi-agent AI systems that work and learn together.

Reflecting on International Women’s Day (IWD) 2026 this past March, this year’s theme, “Give to Gain,” invited leaders to ...

Red Hat’s AI Factory platform to act as enterprise Kubernetes foundation to route workloads across edge infrastructure ...

Abstract: Remote Direct Memory Access (RDMA) has emerged as a critical networking technology in modern data centers, promising high throughput and ultra-low latencies, in addition to sparing vital CPU ...

Today's applications require monitoring, logging, configuration, etc. Each of these concerns can be implemented as a ...

Zero Latency (formerly Hyphastructure) launched a closed beta for Zerogrid, a distributed AI inference platform designed to route workloads across edge infrastructure according to latency, data ...